Literature DB >> 32474113

Identification of salivary volatile organic compounds as potential markers of stomach and colorectal cancer: A pilot study.

Lyudmila V Bel'skaya1, Elena A Sarf2, Sergey P Shalygin3, Tatyana V Postnova4, Victor K Kosenok5.   

Abstract

OBJECTIVES: The purpose of the pilot study was to determine the potential diagnostic capabilities for the analysis of oxygen-containing salivary volatile organic compounds (VOCs) in stomach and colorectal cancer.
METHODS: Saliva samples of 11 patients with stomach cancer, 18 patients with colorectal cancer, and 16 healthy volunteers were analyzed through capillary gas chromatography. The levels of lipid peroxidation products and catalase activity were determined in all samples. To assess saliva diagnostic potential, we constructed a Classification and Regression Tree (CART).
RESULTS: It was shown that the use of a combination of saliva VOCs (acetaldehyde, acetone, propanol-2, and ethanol) allowed classification into Cancer/Control groups with a sensitivity and specificity of 95.7 and 90.9%, respectively. To clarify the location of the tumor, it was necessary to add a methanol level; in this case, the sensitivity for detecting stomach and colorectal cancer was 80.0% and 92.3%, respectively, while the specificity in both cases was 100%. When the lipid peroxidation product content was added to the VOC indicators, they were selected as the main factors for constructing the decision tree. For classification into Cancer/Control groups, only the triene conjugate and Schiff base content in saliva was sufficient. The combination of VOCs in saliva and lipid peroxidation indices improved the sensitivity and specificity for classification to 100%.
CONCLUSION: Preliminary data were obtained on the sensitivity and specificity of the diagnosis of stomach and colorectal cancer, which confirmed the promise of further studies on saliva VOCs for the purpose of clinical laboratory diagnostics.
Copyright © 2020 Japanese Association for Oral Biology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chromatography; Colorectal cancer; Diagnosis; Saliva; Stomach cancer

Year:  2020        PMID: 32474113     DOI: 10.1016/j.job.2020.05.002

Source DB:  PubMed          Journal:  J Oral Biosci        ISSN: 1349-0079


  5 in total

1.  Artificial Intelligence in Colorectal Cancer Diagnosis Using Clinical Data: Non-Invasive Approach.

Authors:  Noémi Lorenzovici; Eva-H Dulf; Teodora Mocan; Lucian Mocan
Journal:  Diagnostics (Basel)       Date:  2021-03-14

2.  Volatile organic compounds as a potential screening tool for neoplasm of the digestive system: a meta-analysis.

Authors:  Lili Zhong; Yinlong Zhao; Lixing Wang; Junan Li; Xiaoliang Xiong; Tingting Hao; Chao Zhang; Zhao Gao
Journal:  Sci Rep       Date:  2021-12-09       Impact factor: 4.379

3.  Salivary metabolomics with machine learning for colorectal cancer detection.

Authors:  Hiroshi Kuwabara; Kenji Katsumata; Atsuhiro Iwabuchi; Ryutaro Udo; Tomoya Tago; Kenta Kasahara; Junichi Mazaki; Masanobu Enomoto; Tetsuo Ishizaki; Ryoko Soya; Miku Kaneko; Sana Ota; Ayame Enomoto; Tomoyoshi Soga; Masaru Tomita; Makoto Sunamura; Akihiko Tsuchida; Masahiro Sugimoto; Yuichi Nagakawa
Journal:  Cancer Sci       Date:  2022-07-08       Impact factor: 6.518

Review 4.  Volatilomics: An Emerging and Promising Avenue for the Detection of Potential Prostate Cancer Biomarkers.

Authors:  Cristina V Berenguer; Ferdinando Pereira; Jorge A M Pereira; José S Câmara
Journal:  Cancers (Basel)       Date:  2022-08-17       Impact factor: 6.575

5.  Diagnostic Ability of Volatile Organic Compounds in Digestive Cancer: A Systematic Review With Meta-Analysis.

Authors:  Hang Yang; Yi Mou; Bing Hu
Journal:  Clin Med Insights Oncol       Date:  2022-06-20
  5 in total

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